AI Engineer Lead AI Engineer

Job Description
Must Have Technical/Functional Skills:
5 years of experience in AI/ML.
1 years of experience building Agentic AI solutions.
Strong expertise in Python and modern software engineering practices.
Hands-on experience with LangGraph LangChain LLMs and prompt engineering.
Experience architecting and deploying enterprise AI applications.
Familiarity with Azure AI Foundry AWS Bedrock Google Gemini Enterprise or similar platforms.
Strong understanding of APIs event-driven architectures CI/CD and cloud deployment.
Proven ability to lead technical initiatives and drive solution delivery.
Excellent communication stakeholder management and problem-solving skills.
Experience with enterprise data integration and AI application deployment.

Roles & Responsibilities
Lead architecture and solution design for Agentic AI applications.
Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
Design and optimize AI workflows across multiple LLMs (GPT Claude Llama etc.).
Guide engineering teams and establish development best practices.
Develop enterprise integrations APIs and event-driven AI services.
Drive deployment operationalization and scalability of AI applications.
Coordinate with platform security data and product teams to ensure successful delivery.
Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.
Good-to-Have Skills
Databricks
MLOps / LLMOps
Enterprise AI Governance and Security
AI Monitoring and Observability
Enterprise AI Architecture and Strategy